20022022

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  • 2002

    Group redundancy measures reveal redundancy reduction in the auditory pathway

    Chechik, G., Globerson, A., Tishby, N., Anderson, M. J., Young, E. D. & Nelken, T., 2002, Advances in Neural Information Processing Systems 14 - Proceedings of the 2001 Conference, NIPS 2001. Neural information processing systems foundation, (Advances in Neural Information Processing Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2004

    Information bottleneck for Gaussian variables

    Chechik, G., Globerson, A., Tishby, N. & Weiss, Y., 2004, Advances in Neural Information Processing Systems 16 - Proceedings of the 2003 Conference, NIPS 2003. Neural information processing systems foundation, (Advances in Neural Information Processing Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2005

    Distributed latent variable models of lexical co-occurrences

    Blitzer, J., Globerson, A. & Pereira, F., 2005, AISTATS 2005 - Proceedings of the 10th International Workshop on Artificial Intelligence and Statistics. p. 25-32 8 p. (AISTATS 2005 - Proceedings of the 10th International Workshop on Artificial Intelligence and Statistics).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Euclidean embedding of co-occurrence data

    Globerson, A., Chechik, G., Pereira, F. & Tishby, N., 2005, Advances in Neural Information Processing Systems 17 - Proceedings of the 2004 Conference, NIPS 2004. Neural information processing systems foundation, (Advances in Neural Information Processing Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Metric learning by collapsing classes

    Globerson, A. & Roweis, S., 2005, Advances in Neural Information Processing Systems 18 - Proceedings of the 2005 Conference. p. 451-458 8 p. (Advances in Neural Information Processing Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2006

    Discriminative learning via semidefinite probabilistic models

    Crammer, K. & Globerson, A., 2006, Proceedings of the 22nd Conference on Uncertainty in Artificial Intelligence, UAI 2006. p. 98-105 8 p. (Proceedings of the 22nd Conference on Uncertainty in Artificial Intelligence, UAI 2006).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Embedding heterogeneous data using statistical models

    Globerson, A., Chechik, G., Pereira, F. & Tishby, N., 2006, Proceedings of the 21st National Conference on Artificial Intelligence and the 18th Innovative Applications of Artificial Intelligence Conference, AAAI-06/IAAI-06. p. 1605-1608 4 p. (Proceedings of the National Conference on Artificial Intelligence; vol. 2).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Nightmare at test time: Robust learning by feature deletion

    Globerson, A. & Roweis, S., 2006, ACM International Conference Proceeding Series - Proceedings of the 23rd International Conference on Machine Learning, ICML 2006. p. 353-360 8 p. (ACM International Conference Proceeding Series; vol. 148).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Nightmare at test time: Robust learning by feature deletion

    Globerson, A. & Roweis, S., 2006, ICML 2006 - Proceedings of the 23rd International Conference on Machine Learning. p. 353-360 8 p. (ICML 2006 - Proceedings of the 23rd International Conference on Machine Learning; vol. 2006).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2007

    Approximate inference using planar graph decomposition

    Globerson, A. & Jaakkola, T., 2007, Advances in Neural Information Processing Systems 19 - Proceedings of the 2006 Conference. p. 473-480 8 p. (Advances in Neural Information Processing Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Convergent propagation algorithms via oriented trees

    Globerson, A. & Jaakkola, T., 2007, Proceedings of the 23rd Conference on Uncertainty in Artificial Intelligence, UAI 2007. p. 133-140 8 p. (Proceedings of the 23rd Conference on Uncertainty in Artificial Intelligence, UAI 2007).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2008

    Convex learning with invariances

    Teo, C. H., Globerson, A., Roweis, S. & Smola, A. J., 2008, Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference. Curran Associates Inc., (Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Fixing max-product: Convergent message passing algorithms for MAP LP-relaxations

    Globerson, A. & Jaakkola, T., 2008, Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference. Curran Associates Inc., (Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Tightening LP relaxations for MAP using message passing

    Sontag, D., Meltzer, T., Globerson, A., Jaakkola, T. & Weiss, Y., 2008, Proceedings of the 24th Conference on Uncertainty in Artificial Intelligence, UAI 2008. p. 503-510 8 p. (Proceedings of the 24th Conference on Uncertainty in Artificial Intelligence, UAI 2008).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2009

    An LP view of the M-best MAP problem

    Fromer, M. & Globerson, A., 2009, Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. p. 567-575 9 p. (Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Clusters and coarse partitions in LP relaxations

    Sontag, D., Globerson, A. & Jaakkola, T., 2009, Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. p. 1537-1544 8 p. (Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Convergent message passing algorithms - A unifying view

    Meltzer, T., Globerson, A. & Weiss, Y., 2009, Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, UAI 2009. AUAI Press, p. 393-401 9 p. (Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, UAI 2009).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Convexifying the Bethe free energy

    Meshi, O., Jaimovich, A., Globerson, A. & Friedman, N., 2009, Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, UAI 2009. AUAI Press, p. 402-410 9 p. (Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, UAI 2009).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Convex learning with invariances

    Teo, C. H., Globerson, A., Roweis, S. & Smola, A. J., 2009, Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference. (Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Fixing max-product: Convergent message passing algorithms for MAP LP-relaxations

    Globerson, A. & Jaakkola, T., 2009, Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference. (Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2010

    Finding k-best solutions using LP relaxations

    Fromer, M. & Globerson, A., 2010, IEEE Information Theory Workshop 2010, ITW 2010. 5503229. (IEEE Information Theory Workshop 2010, ITW 2010).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Learning efficiently with approximate inference via dual losses

    Meshi, O., Sontag, D., Jaakkola, T. & Globerson, A., 2010, ICML 2010 - Proceedings, 27th International Conference on Machine Learning. p. 783-790 8 p. (ICML 2010 - Proceedings, 27th International Conference on Machine Learning).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • More data means less inference: A pseudo-max approach to structured learning

    Sontag, D., Meshi, O., Jaakkola, T. & Globerson, A., 2010, Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, NIPS 2010. (Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, NIPS 2010).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2011

    An alternating direction method for dual MAP LP relaxation

    Meshi, O. & Globerson, A., 2011, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, Proceedings. PART 2 ed. p. 470-483 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6912 LNAI, no. PART 2).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
  • What cannot be learned with bethe approximations

    Heinemann, U. & Globerson, A., 2011, Proceedings of the 27th Conference on Uncertainty in Artificial Intelligence, UAI 2011. AUAI Press, p. 319-326 8 p. (Proceedings of the 27th Conference on Uncertainty in Artificial Intelligence, UAI 2011).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2012

    Convergence rate analysis of MAP coordinate minimization algorithms

    Meshi, O., Jaakkola, T. & Globerson, A., 2012, Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012, NIPS 2012. p. 3014-3022 9 p. (Advances in Neural Information Processing Systems; vol. 4).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Covariance estimation in time varying ARMA processes

    Wiesel, A. & Globerson, A., 2012, 2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012. p. 357-360 4 p. 6250510. (Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Improved parsing and POS tagging using inter-sentence consistency constraints

    Rush, A. M., Reichart, R., Collins, M. & Globerson, A., 2012, EMNLP-CoNLL 2012 - 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Proceedings of the Conference. p. 1434-1444 11 p. (EMNLP-CoNLL 2012 - 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Learning the experts for online sequence prediction

    Eban, E., Birnbaum, A., Shalev-Shwartz, S. & Globerson, A., 2012, Proceedings of the 29th International Conference on Machine Learning, ICML 2012. p. 879-886 8 p. (Proceedings of the 29th International Conference on Machine Learning, ICML 2012; vol. 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Learning to map into a universal POS tagset

    Zhang, Y., Reichart, R., Barzilay, R. & Globerson, A., 2012, EMNLP-CoNLL 2012 - 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Proceedings of the Conference. p. 1368-1378 11 p. (EMNLP-CoNLL 2012 - 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Selective sharing for multilingual dependency parsing

    Naseem, T., Barzilay, R. & Globerson, A., 2012, 50th Annual Meeting of the Association for Computational Linguistics, ACL 2012 - Proceedings of the Conference. p. 629-637 9 p. (50th Annual Meeting of the Association for Computational Linguistics, ACL 2012 - Proceedings of the Conference; vol. 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2013

    Higher order matching for consistent multiple target tracking

    Arora, C. & Globerson, A., 2013, Proceedings - 2013 IEEE International Conference on Computer Vision, ICCV 2013. Institute of Electrical and Electronics Engineers Inc., p. 177-184 8 p. 6751131. (Proceedings of the IEEE International Conference on Computer Vision).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Transfer learning for constituency-based grammars

    Zhang, Y., Barzilay, R. & Globerson, A., 2013, Long Papers. Association for Computational Linguistics (ACL), p. 291-301 11 p. (ACL 2013 - 51st Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference; vol. 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2014

    Discrete chebyshev classifiers

    Eban, E., Mezuman, E. & Globerson, A., 2014, 31st International Conference on Machine Learning, ICML 2014. International Machine Learning Society (IMLS), p. 2982-2990 9 p. (31st International Conference on Machine Learning, ICML 2014; vol. 4).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Inferring with high girth graphical models

    Heinemann, U. & Globerson, A., 2014, 31st International Conference on Machine Learning, ICML 2014. International Machine Learning Society (IMLS), p. 3022-3041 20 p. (31st International Conference on Machine Learning, ICML 2014; vol. 4).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Lifted message passing as reparametrization of graphical models

    Mladenov, M., Globerson, A. & Kersting, K., 2014, Uncertainty in Artificial Intelligence - Proceedings of the 30th Conference, UAI 2014. Zhang, N. L. & Tian, J. (eds.). AUAI Press, p. 603-612 10 p. (Uncertainty in Artificial Intelligence - Proceedings of the 30th Conference, UAI 2014).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Spectral regularization for max-margin sequence tagging

    Quattoni, A., Balle, B., Carreras, X. & Globerson, A., 2014, 31st International Conference on Machine Learning, ICML 2014. International Machine Learning Society (IMLS), p. 3698-3706 9 p. (31st International Conference on Machine Learning, ICML 2014; vol. 5).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Steps to excellence: Simple inference with refined scoring of dependency trees

    Zhang, Y., Lei, T., Barzilay, R., Jaakkola, T. & Globerson, A., 2014, Long Papers. Association for Computational Linguistics (ACL), p. 197-207 11 p. (52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Proceedings of the Conference; vol. 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Tightness results for local consistency relaxations in continuous MRFs

    Wald, Y. & Globerson, A., 2014, Uncertainty in Artificial Intelligence - Proceedings of the 30th Conference, UAI 2014. Zhang, N. L. & Tian, J. (eds.). AUAI Press, p. 839-848 10 p. (Uncertainty in Artificial Intelligence - Proceedings of the 30th Conference, UAI 2014).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2015

    How hard is inference for structured prediction?

    Globerson, A., Roughgarden, T., Sontag, D. & Yildirim, C., 2015, 32nd International Conference on Machine Learning, ICML 2015. Bach, F. & Blei, D. (eds.). International Machine Learning Society (IMLS), p. 2171-2180 10 p. (32nd International Conference on Machine Learning, ICML 2015; vol. 3).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Template kernels for dependency parsing

    Taub-Tabib, H., Goldberg, Y. & Globerson, A., 2015, NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 1422-1427 6 p. (NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2016

    Collective entity resolution with multi-focal attention

    Globerson, A., Lazic, N., Chakrabarti, S., Subramanya, A., Ringgaard, M. & Pereira, F., 2016, 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers. Association for Computational Linguistics (ACL), p. 621-631 11 p. (54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers; vol. 2).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Discriminative learning of infection models

    Rosenfeld, N., Nitzan, M. & Globerson, A., 8 Feb 2016, WSDM 2016 - Proceedings of the 9th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 563-572 10 p. (WSDM 2016 - Proceedings of the 9th ACM International Conference on Web Search and Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2017

    Globally optimal gradient descent for a ConvNet with Gaussian inputs

    Brutzkus, A. & Globerson, A., 2017, 34th International Conference on Machine Learning, ICML 2017. International Machine Learning Society (IMLS), p. 980-1006 27 p. (34th International Conference on Machine Learning, ICML 2017; vol. 2).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Learning infinite layer networks without the kernel trick

    Livni, R., Carmon, D. & Globerson, A., 2017, 34th International Conference on Machine Learning, ICML 2017. International Machine Learning Society (IMLS), p. 3460-3469 10 p. (34th International Conference on Machine Learning, ICML 2017; vol. 5).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2018

    Learning to optimize combinatorial functions

    Rosenfeld, N., Balkanski, E., Globerson, A. & Singer, Y., 2018, 35th International Conference on Machine Learning, ICML 2018. Krause, A. & Dy, J. (eds.). International Machine Learning Society (IMLS), p. 6955-6964 10 p. (35th International Conference on Machine Learning, ICML 2018; vol. 10).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction

    Herzig, R., Raboh, M., Chechik, G., Berant, J. & Globerson, A., 2018, ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018). Bengio, S., Wallach, H., Larochelle, H., Grauman, K., Cesa-Bianchi, N. & Garnett, R. (eds.). Curran Associates, Inc., 11 p. (Advances in Neural Information Processing Systems; vol. 31).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
  • Predict and constrain: Modeling cardinality in deep structured prediction

    Brukhim, N. & Globerson, A., 2018, 35th International Conference on Machine Learning, ICML 2018. Dy, J. & Krause, A. (eds.). International Machine Learning Society (IMLS), p. 1046-1054 9 p. (35th International Conference on Machine Learning, ICML 2018; vol. 2).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Weakly supervised semantic parsing with abstract examples

    Goldman, O., Latcinnik, V., Naveh, U., Globerson, A. & Berant, J., 2018, ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers). Association for Computational Linguistics (ACL), p. 1809-1819 11 p. (ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers); vol. 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
  • 2019

    Cross-lingual alignment of contextual word embeddings, with applications to zero-shot dependency parsing

    Schuster, T., Ram, O., Barzilay, R. & Globerson, A., 2019, Long and Short Papers. Association for Computational Linguistics (ACL), p. 1599-1613 15 p. (NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference; vol. 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review